2019
Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches.
Boss J, Mukherjee B, Ferguson K, Aker A, Alshawabkeh A, Cordero J, Meeker J, Kim S. Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches. Epidemiology 2019, 30: 746-755. PMID: 31299670, PMCID: PMC6677587, DOI: 10.1097/ede.0000000000001052.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersComputer SimulationData Interpretation, StatisticalEnvironmental ExposureEpidemiologic Research DesignHumansLimit of DetectionModels, StatisticalConceptsBinary outcome dataLikelihood-based methodsComplete-case analysisDistributional assumptionsAssignment of samplesSuperior estimation propertiesSimulation studyComplete-caseMultiple imputation strategyExposure dataMultiple batchesBatch assignmentEstimated propertiesLimit-variablesSingle imputationMultiple imputationCohort study
2017
Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence
Liu G, Mukherjee B, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Rossing MA, Moysich KB, Chang-Claude J, Doherty JA, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley BL, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Pearce CL, Consortium F. Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. American Journal Of Epidemiology 2017, 187: 366-377. PMID: 28633381, PMCID: PMC5860584, DOI: 10.1093/aje/kwx243.Peer-Reviewed Original Research
2016
Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction
Ko Y, Mukherjee B, Smith J, Kardia S, Allison M, Roux A. Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction. Epidemiology 2016, 27: 870-878. PMID: 27479650, PMCID: PMC5039086, DOI: 10.1097/ede.0000000000000548.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAtherosclerosisBayes TheoremCluster AnalysisData Interpretation, StatisticalEnvironmental ExposureEpidemiologic Research DesignFemaleFollow-Up StudiesGene-Environment InteractionGenetic Predisposition to DiseaseHumansMiddle AgedModels, StatisticalRegression AnalysisRisk FactorsConceptsMultiple environmental exposuresGene-environment interactionsG x EEnvironmental exposuresMultiethnic Study of AtherosclerosisStudy of AtherosclerosisGene-environmentEffect modificationMultiethnic StudyEnvironmental factorsExposure subgroupsEnvironmental exposure profilesMain effectExposure profilesE studyEfficient analysis strategyE analysisMultiple environmental factorsSubgroupsAnalysis strategyFactorsExposureProduct termsMediation Formula for a Binary Outcome and a Time-Varying Exposure and Mediator, Accounting for Possible Exposure-Mediator Interaction
Chen Y, Mukherjee B, Ferguson K, Meeker J, VanderWeele T. Mediation Formula for a Binary Outcome and a Time-Varying Exposure and Mediator, Accounting for Possible Exposure-Mediator Interaction. American Journal Of Epidemiology 2016, 184: 157-159. PMID: 27325886, PMCID: PMC4945703, DOI: 10.1093/aje/kww045.Peer-Reviewed Original ResearchMeSH KeywordsData Interpretation, StatisticalEpidemiologic Research DesignHumansLongitudinal StudiesModels, StatisticalTime Factors